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1
Inter-Individual Variability in Dorsal Stream Dynamics During Word Production
In: https://hal.archives-ouvertes.fr/hal-03629184 ; 2022 (2022)
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2
Birth Size and Maternal, Social, and Environmental Factors in the Province of Jujuy, Argentina
In: Int J Environ Res Public Health (2022)
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3
Contributions of Electrophysiology for Identifying Cortical Language Systems in Patients with Epilepsy
In: ISSN: 1525-5050 ; EISSN: 1525-5069 ; Epilepsy & Behavior ; https://hal.archives-ouvertes.fr/hal-02931618 ; Epilepsy & Behavior, [San Diego CA]: Elsevier B.V., 2020, ⟨10.1016/j.yebeh.2020.107407⟩ (2020)
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4
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2018
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5
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge. - : figshare, 2018
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6
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge. - : figshare, 2018
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7
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge. - : figshare, 2018
Abstract: Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically similar is an important challenge in the information integration field. The problem is that techniques for textual semantic similarity measurement often fail to deal with words not covered by synonym dictionaries. In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine. To do this, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns. These algorithmic methods are: a) frequent co-occurrence of terms in search patterns, b) computation of the relationship between search patterns, c) outlier coincidence on search patterns, and d) forecasting comparisons. We have shown experimentally that some of these methods correlate well with respect to human judgment ...
Keyword: 80105 Expert Systems; 80107 Natural Language Processing; 80108 Neural, Evolutionary and Fuzzy Computation; 80604 Database Management; FOS Computer and information sciences; Information Systems
URL: https://dx.doi.org/10.6084/m9.figshare.7122386
https://figshare.com/articles/Semantic_Similarity_Measurement_Using_Historical_Google_Search_Patterns/7122386
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8
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge. - : figshare, 2018
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9
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2018
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10
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2018
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11
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2018
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12
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge. - : figshare, 2017
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13
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2017
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14
An Overview of Textual Semantic Similarity Measures Based on Web Intelligence ...
Martinez, Jorge. - : figshare, 2017
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15
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge. - : figshare, 2017
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16
Semantic Similarity Measurement Using Historical Google Search Patterns ...
Martinez, Jorge. - : figshare, 2017
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17
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures ...
Martinez, Jorge. - : figshare, 2017
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18
AXEL: A framework to deal with ambiguity in three-noun compounds
Matadamas Martinez, Jorge. - : Brunel University, School of Information Systems, Computing and Mathematics, 2010
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19
Interrogativas indirectas latinas con fórmula introductoria no subjetiva
Encinas Martínez, Jorge. - : Murcia : Universidad, Secretariado de Publicaciones, 1991
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